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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 276 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 243
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A wildlife research company has a set of images of lions and cheetahs. The company created a dataset of the images. The company labeled each image with a binary label that indicates whether an image contains a lion or cheetah. The company wants to train a model to identify whether new images contain a lion or cheetah.

Which Amazon SageMaker algorithm will meet this requirement?

  • A. XGBoost
  • B. Image Classification - TensorFlow
  • C. Object Detection - TensorFlow
  • D. Semantic segmentation - MXNet
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Suggested Answer: B 🗳️
by kukreti18 at July 6, 2023, 5:35 p.m.
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vkbajoria
7 months, 1 week ago
Selected Answer: B
Image classification - Tensorflow
upvoted 1 times
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endeesa
11 months, 1 week ago
Selected Answer: B
We just want to identify the item in the image, so object detection and semantic segmentation out. Left with A and B , but Xgboost is not ideal for images so B
upvoted 1 times
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Mickey321
1 year, 3 months ago
Selected Answer: B
Image Classification - TensorFlow is a built-in algorithm in Amazon SageMaker that can be used to train a model to identify images of lions and cheetahs. The algorithm uses a convolutional neural network (CNN) to extract features from the images and then classifies the images based on the features
upvoted 3 times
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gusta_dantas
1 year, 3 months ago
Selected Answer: B
B, definitely.
upvoted 1 times
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ADVIT
1 year, 3 months ago
It's B.
upvoted 1 times
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kukreti18
1 year, 4 months ago
B is correct.
upvoted 3 times
...
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